Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185235BB26722B4B843DB91EEE73C2D55B2D1488DF8C74514F6C95A8E23C3C912287BB4 |
|
CONTENT
ssdeep
|
768:a++EsZx8/G8f4xDawzMbB5MwVMbB5lwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:a++EsZ/8gxDawzMbBywVMbBrwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb9c95c594c1c4b5 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
71714d5541454145 |
|
VISUAL
wHash
|
ff8181fd81f1e181 |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
71714d5541454145,3232848080808080 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 17 techniques to evade detection by security scanners and make reverse engineering more difficult.